Haobo Wang
Haobo Wang
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The emerging trends of multi-label learning
W Liu, H Wang, X Shen, IW Tsang
TPAMI, 2021
PiCO: Contrastive Label Disambiguation for Partial Label Learning
H Wang, R Xiao, S Li, L Feng, G Niu, G Chen, J Zhao
International Conference on Learning Representations, 2021
Discriminative and correlative partial multi-label learning
H Wang, W Liu, Y Zhao, C Zhang, T Hu, G Chen
Proceedings of the 28th International Joint Conference on Artificial …, 2019
Two-stage label embedding via neural factorization machine for multi-label classification
C Chen, H Wang, W Liu, X Zhao, T Hu, G Chen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3304-3311, 2019
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
R Xiao, Y Dong, H Wang, L Feng, W Runze, C Gang, J Zhao
IJCAI, 2023
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
H Wang, M Xia, Y Li, Y Mao, L Feng, G Chen, J Zhao
NeurIPS, 2022
Collaboration Based Multi-Label Propagation for Fraud Detection
H Wang, Z Li, J Huang, P Hui, W Liu, T Hu, G Chen
IJCAI, 2020
A hybrid data cleaning framework using markov logic networks
C Ge, Y Gao, X Miao, B Yao, H Wang
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2048-2062, 2020
Incorporating label embedding and feature augmentation for multi-dimensional classification
H Wang, C Chen, W Liu, K Chen, T Hu, G Chen
AAAI, 2020
Large-scale online multi-view graph neural network and applications
Z Li, Y Xing, J Huang, H Wang, J Gao, G Yu
Future Generation Computer Systems 116, 145-155, 2021
Online Partial Label Learning
H Wang, Y Qiang, C Chen, W Liu, T Hu, Z Li, G Chen
European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020 …, 2020
Controllable textual inversion for personalized text-to-image generation
J Yang, H Wang, Y Zhang, R Xiao, S Wu, G Chen, J Zhao
arXiv preprint arXiv:2304.05265, 2023
Learning From Multi-Dimensional Partial Labels
H Wang, W Liu, Y Zhao, T Hu, K Chen, G Chen
IJCAI, 2020
Learning a data-driven policy network for pre-training automated feature engineering
L Li, H Wang, L Zha, Q Huang, S Wu, G Chen, J Zhao
The Eleventh International Conference on Learning Representations, 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
H Wang, R Xiao, S Li, L Feng, G Niu, G Chen, J Zhao
TPAMI, 2024
Tablegpt: Towards unifying tables, nature language and commands into one gpt
L Zha, J Zhou, L Li, R Wang, Q Huang, S Yang, J Yuan, C Su, X Li, A Su, ...
arXiv preprint arXiv:2307.08674, 2023
Energy-based Automated Model Evaluation
R Peng, H Zou, H Wang, Y Zeng, Z Huang, J Zhao
ICLR, 2024
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
R Xiao, Y Dong, J Zhao, R Wu, M Lin, G Chen, H Wang
EMNLP, 2023
Revisiting the Knowledge Injection Frameworks
P Fu, Y Zhang, H Wang, W Qiu, J Zhao
EMNLP, 2023
Catch: Collaborative Feature Set Search for Automated Feature Engineering
G Lu, H Wang, S Yang, J Yuan, G Yang, C Zang, G Chen, J Zhao
Proceedings of the ACM Web Conference 2023, 1886-1896, 2023
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